Precision Mapping of Covid-19 Vulnerable Locales by Epidemiological and Socioeconomic Risk Factors, Developed Using South Korean Data
Dados Bibliográficos
COVID-19 has severely impacted socioeconomically disadvantaged populations. To support pandemic control strategies, geographically weighted negative binomial regression (GWNBR) mapped COVID-19 risk related to epidemiological and socioeconomic risk factors using South Korean incidence data (January 20, 2020 to July 1, 2020). We constructed COVID-19-specific socioeconomic and epidemiological themes using established social theoretical frameworks and created composite indexes through principal component analysis. The risk of COVID-19 increased with higher area morbidity, risky health behaviours, crowding, and population mobility, and with lower social distancing, healthcare access, and education. Falling COVID-19 risks and spatial shifts over three consecutive time periods reflected effective public health interventions. This study provides a globally replicable methodological framework and precision mapping for COVID-19 and future pandemics
Coronavirus disease 2019 (COVID-19 · Disadvantaged · Economic growth · Economics · Environmental health · Geography · Pandemic · Population · Psychological intervention · Public health · Social distance · Socioeconomic status · Sociology · Spatial epidemiology · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Data-Driven Disease Surveillance · Demography · Medicine · Epidemiology
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| Obras citantes distintas | 8 |
|---|---|
| Citações por ano | 1,6 |
| Intervalo de citações | 2021 - 2026 (6) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 8 |